--- title: 'Customer Value Partner, Enterprise at Multiverse' canonical: 'https://feeny.ai/job/customer-value-partner-enterprise-multiverse-london-689a6ebywd5x' type: 'job' last_seen: '2026-11-11' --- # Customer Value Partner, Enterprise at Multiverse - **Company:** Multiverse - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-11-11 - **Apply:** https://jobs.ashbyhq.com/multiverse/1b808a4f-28e2-4f1c-ad82-658d41ce9c97 ## Job description Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can. Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them. Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated £2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot. We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started. If you want to shape how the workforce wins in the AI era, come and join us. At Multiverse, we are building a tech-first institution that combines work and learning to close the critical skills gap. The Customer Value Partner (CVP) is the primary architect of this transformation. In the Enterprise segment, you are the single point of accountability for our customers from the moment a contract is signed. You will lead the end-to-end journey - ensuring every launch is flawless, every program delivers measurable business impact, and every partnership has a clear, data-backed roadmap for expansion. This is a role for an operator who is as comfortable influencing a Director-level stakeholder as they are navigating the data-driven technicalities of a program launch. Once here, you will: - Independently lead the end-to-end customer journey for a portfolio of Enterprise accounts, handling greater ambiguity to move customers from initial sales handover to long-term value realization and renewal. - Build and defend credible, multi-threaded relationships across HR, executive sponsors, and business leaders; navigating internal dynamics to ensure Multiverse is logically embedded in their digital and talent strategy. - Partner with executive sponsors to translate complex learning outcomes into specific business impact narratives, selecting and differentiating information to achieve high-level engagement from senior leadership. - Independently build 12-month Mutual Action Plans and Discovery Workshops, establishing the clear governance, success metrics, and operating rhythms required to drive consistent momentum. - Oversee launch excellence and the critical "First 90 Days," collaborating methodically with the central Fulfilment team to ensure technical readiness and cohort setup do not create long-term account drag. - Lead structured Executive Business Reviews (EBRs) that move beyond data reporting to tell a compelling story of ROI, navigating difficult conversations with sensitivity and adapting responses based on customer emotion. - Synthesize delivery outcomes into compelling proof by correlating Multiverse learner data with client-provided business KPIs to justify further strategic investment. - Proactively identify expansion and upsell triggers, contextualizing why these opportunities matter within the customer’s specific business environment to build "ready-to-close" commercial cases. - Methodically experiment with playbooks and templates to improve how the work is done, acting as a "source of wisdom" for the wider team and the internal voice of the customer. - Align Delivery, Product, and Support teams to remove barriers, triangulating patterns from multiple sources to improve the overall Enterprise customer experience. About You: - You bring 3+ years of experience in Customer Success, Account Management, or Consulting, with a proven history of managing and growing high-stakes Enterprise B2B relationships. - You are a natural project leader who can leverage internal teams (such as Fulfilment and Admissions) to deliver a seamless customer experience during high-stakes implementation phases. - You are data-fluent. You don’t just report on metrics; you interpret complex datasets and correlate Multiverse delivery data with a client’s internal KPIs to build a technical ROI case. - You have a "commercial nose" for growth. You understand the mechanics of Net Revenue Retention (NRR) and can build "ready-to-close" expansion cases backed by value proof and mutual action plans. - You are "Director-ready." You can hold the room during an EBR and navigate difficult conversations with a balance of empathy and data-backed logic. - You thrive in an environment where the CRM (Salesforce) is the source of truth, maintaining high standards of data hygiene to ensure account health is always visible. ## Benefits - Time off: 27 days holiday (including 3 winter shutdown days) and bank holidays, plus 5 extra days off (1 life event, 2 volunteer days and 2 summer shutdown days). - Health and wellbeing: Bupa private medical insurance, a medical cash back plan, therapy through Spill and gym access through Wellhub. - Equity for all: we believe that when Multiverse wins, we all win, which is why every permanent employee receives share options. - Financial security: life insurance at 3x salary, a workplace pension with 4% contribution from us, Cycle to Work and a Tech Scheme. - Family support: enhanced maternity and paternity leave, adoption and shared parental leave, paid leave after pregnancy loss, and a workplace nursery scheme. - Hybrid working: 3 days a week in the office - except for Coaches & Instructors who come into the office 1 day per month. Plus 10 days a year to work from anywhere. - Work perks: quarterly team socials, company-wide events, happy hours, lunch delivered to the office once a week, fully stocked snack bar and a drinks fridge! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy [here](https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy). Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our [Safeguarding Policy](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf), our [Prevent Policy](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdf)and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS. ## About Multiverse ## Company Overview - **One-liner**: Multiverse is an upskilling platform that combines expert human coaching with an AI-powered learning engine to help organisations adopt AI, data and tech skills at scale. - **Entity Type**: Private (Series D, most recent raise $70m in 2026 at a $2.1bn valuation) - **Headquarters**: London, United Kingdom (Paddington) - **Founded**: 2016 - **Founders**: Euan Blair ## Core Business - **Primary industry**: Workforce upskilling / EdTech / AI adoption services - **Target customers**: B2B – enterprises and mid-market organisations (1,500+ companies including Microsoft, Mars, John Lewis Partnership) - **Mission statement**: “Equip the workforce to win in the AI era.” ## Products & Services - **AI Adoption Platform**: An end-to-end platform that diagnoses skills gaps, prescribes learning paths (using the MAGE framework), and tracks quantifiable business impact (productivity, cost savings, ROI). - **Professional Apprenticeships**: Accredited programmes (Level 3, Level 4) in AI, data, and tech – e.g. Data Technician, Data Analyst, AI & Automation Practitioner, Digital Support Technician. Delivered over 13 months with a 3-month assessment period. - **AI Solutions Builder**: A programme to create agentic AI experts who build solutions to improve team processes and eliminate repetitive tasks. - **Data Fellowship & Data & Insights for Business Decisions**: Programmes for aspiring/junior to mid-level data professionals. - **AI-Powered Productivity**: Coaching on GenAI tools (Microsoft Copilot, Gemini) with responsible AI use. - **Human + AI Coaching**: An ecosystem of expert coaches and AI support to guide learners through their upskilling journey. ## Market Standing - **Valuation**: $2.1 billion (post-money after $70m raise in 2026; previously $1.7bn post-money in June 2022 Series D) - **Key Metric**: Over £2 billion tracked ROI for employers; 22,000+ learners; 1,500+ companies served; 800+ employees - **Notable Investors/Partners**: Schroders Capital (lead in 2026 round), General Catalyst, Lightspeed Venture Partners, StepStone Group. Key partners include Microsoft, Mars, John Lewis Partnership. - **Growth Signals**: Raised $70m at a higher valuation in 2026 to accelerate European expansion; growing headcount (850+ employees reported on careers page); launched new AI-specific programmes; expanded from UK into the US. ## Competitive Advantages - **End-to-end AI adoption layer**: Combines skills diagnosis, custom learning paths, human coaching, and ROI measurement – not just content delivery. - **Proven ROI focus**: Every programme is designed to deliver measurable business outcomes (e.g., $2bn+ in customer ROI cited). - **Accredited apprenticeships for all career stages**: Offers government-recognised qualifications but for any age (not just early career), bridging the gap between traditional education and workforce needs. - **AI-native approach**: AI is “the engine, not an add-on”; the platform itself uses AI to personalise learning and coach at scale. ## Strategic Focus - **European expansion**: The 2026 $70m raise, led by Schroders Capital, is specifically earmarked for accelerating growth across Europe. - **Deepening AI adoption capabilities**: Building the “adoption layer” for organisations – helping them move from buying AI tools to actually getting employees to use them effectively. - **Scaling the platform**: Continuing to add new programmes and improve the MAGE learning framework to drive more business impact. ## Why Work Here - **Culture**: Described as “mission-driven” with a focus on achievement, mastery, and behaviour (BAM framework). Emphasis on continuous feedback, improvement, and being “owners” who drive outcomes. - **Hybrid working**: 3 days per week in the London office (Paddington); plus a “10 days work from anywhere” scheme. - **Benefits**: Bupa Private Medical Insurance, Unum Cashplan, Wellhub gym/wellness membership, enhanced pension (5% + 4% employer contribution), tech and cycle scheme, workplace nursery, share options (role dependent), 2 extra M-Powered Days off, life insurance, therapy support. - **Learning and growth**: “Never stop growing” is a core value; intensive 2-week AI onboarding for all new hires; quarterly team socials. - **Engineering culture**: Active hiring for roles like AI Solutions Engineer, Senior Software Engineer (AI Adoption Product), Applied AI Engineer, Analytics Engineer, AI Learning Architect – indicating a strong focus on building the platform in-house. ## Sources 1. [multiverse.io – Homepage](https://www.multiverse.io/) 2. [multiverse.io – Careers “We’re Hiring”](https://www.multiverse.io/careers/were-hiring) 3. [multiverse.io – Our Mission](https://www.multiverse.io/about/our-mission) 4. [multiverse.io – Careers (open roles)](https://www.multiverse.io/en-US/careers?q=advanced) 5. [linkedin.com – Multiverse company page](https://www.linkedin.com/company/joinmultiverse) ## Other roles at Multiverse - [AI Engineering Manager](https://feeny.ai/job/ai-engineering-manager-multiverse-london-naf0fashex0f) — London, United Kingdom - [Senior Leader - Product Marketing](https://feeny.ai/job/senior-leader-product-marketing-multiverse-london-jyegsnzwy8bq) — London, United Kingdom - [Senior Legal Counsel (UK & Germany)](https://feeny.ai/job/senior-legal-counsel-uk-germany-multiverse-london-bkszsm58b61d) — London, United Kingdom - [Customer Value Partner, Enterprise - NHS Accounts](https://feeny.ai/job/customer-value-partner-enterprise-nhs-accounts-multiverse-london-p1z8zpr9nks1) — London, United Kingdom - [Technical Instructional Designer (AI Programmes)](https://feeny.ai/job/technical-instructional-designer-ai-programmes-multiverse-london-5p3p1kp9hfj2) — London, United Kingdom - [Technical Instructional Designer (AI Programmes)](https://feeny.ai/job/technical-instructional-designer-ai-programmes-multiverse-london-aw6s2yw964ey) — London, United Kingdom - [Senior AI Engineering Manager](https://feeny.ai/job/senior-ai-engineering-manager-multiverse-london-a2tmjw9dk5sy) — London, United Kingdom - [Operations Specialist - Enablement](https://feeny.ai/job/operations-specialist-enablement-multiverse-london-fnad4kj8febv) — London, United Kingdom - [GTM Engineer](https://feeny.ai/job/gtm-engineer-multiverse-london-zvm4w0wcb5bx) — London, United Kingdom - [Talent Partner](https://feeny.ai/job/talent-partner-multiverse-london-gawh6b11ac0x) — London, United Kingdom